Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis
Radio Frequency Interference (RFI) detection and mitigation algorithms based on a signal’s spectrogram (frequency and time domain representation) are presented. The radiometric signal’s spectrogram is treated as an image, and therefore image processing techniques are applied to detect and mitigate R...
Main Authors: | Jose Miguel Tarongi, Adriano Camps |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2011-10-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/4/4/239/ |
Similar Items
-
Statistical Approach to Spectrogram Analysis for Radio-Frequency Interference Detection and Mitigation in an L-Band Microwave Radiometer
by: Myeonggeun Oh, et al.
Published: (2019-01-01) -
Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms
by: Raúl Díez-García, et al.
Published: (2019-08-01) -
Radio-Frequency Interference Detection and Mitigation Algorithms for Synthetic Aperture Radiometers
by: Antonio Gutierrez, et al.
Published: (2011-08-01) -
Analysis of RFI Identification and Mitigation in CAROLS Radiometer Data Using a Hardware Spectrum Analyser
by: Christophe Caudoux, et al.
Published: (2011-03-01) -
Real-Time Detection and Filtering of Radio Frequency Interference Onboard a Spaceborne Microwave Radiometer: The CubeRRT Mission
by: Joel T. Johnson, et al.
Published: (2020-01-01)